{"id":"https://openalex.org/W7160532117","doi":"https://doi.org/10.48550/arxiv.2605.04436","title":"Joint Optimization of Trajectory Control, Resource Allocation, and Task Offloading for Multi-UAV-Assisted IoV","display_name":"Joint Optimization of Trajectory Control, Resource Allocation, and Task Offloading for Multi-UAV-Assisted IoV","publication_year":2026,"publication_date":"2026-05-06","ids":{"openalex":"https://openalex.org/W7160532117","doi":"https://doi.org/10.48550/arxiv.2605.04436"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.04436","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04436","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.04436","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114235360","display_name":"Maoxin Ji","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ji, Maoxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135594736","display_name":"Qiong Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Qiong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135560047","display_name":"Pingyi Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Pingyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135617879","display_name":"Cui Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Cui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135547233","display_name":"Nan Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Nan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135568738","display_name":"Wen Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Wen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135613649","display_name":"Khaled B. Letaief","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Letaief, Khaled B.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9474999904632568,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9474999904632568,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.03290000185370445,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.004999999888241291,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7879999876022339},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6049000024795532},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5314000248908997},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4745999872684479},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.4510999917984009},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.44209998846054077},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41929998993873596},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.4018999934196472}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7954999804496765},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7879999876022339},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6049000024795532},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5314000248908997},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4745999872684479},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.47269999980926514},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.4510999917984009},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.44209998846054077},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41929998993873596},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.4018999934196472},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37459999322891235},{"id":"https://openalex.org/C173246807","wikidata":"https://www.wikidata.org/wiki/Q7833062","display_name":"Trajectory optimization","level":3,"score":0.3709000051021576},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.36910000443458557},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.3458000123500824},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.3319999873638153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31630000472068787},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2831000089645386},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2741999924182892}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.04436","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04436","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.04436","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04436","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.46719950437545776,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"a":[3,41,46,73,107,121],"multi-Unmanned":[4],"Aerial":[5],"Vehicle":[6],"(UAV)":[7],"joint":[8],"base":[9],"station-assisted":[10],"Internet":[11],"of":[12,65,172],"Vehicles":[13],"(IoV)":[14],"task":[15,141,173],"offloading":[16,142],"system":[17,24,177],"in":[18,170],"dense":[19],"urban":[20],"environments.":[21],"To":[22],"minimize":[23],"delay":[25],"and":[26,84,117,176],"energy":[27],"consumption":[28],"under":[29],"strict":[30],"coupling":[31],"constraints,":[32],"the":[33,61,94,98,103,140,160],"complex":[34],"non-convex":[35],"optimization":[36,49,154],"problem":[37],"is":[38,57,89,125],"decoupled":[39],"into":[40],"hierarchical":[42],"execution":[43],"framework.":[44],"First,":[45],"sequential":[47],"distributed":[48],"algorithm":[50],"based":[51],"on":[52],"Second-Order":[53],"Cone":[54],"Programming":[55,149],"(SOCP)":[56],"proposed":[58,161],"to":[59,110,127],"optimize":[60],"3D":[62],"flight":[63],"trajectory":[64],"each":[66],"UAV,":[67],"ensuring":[68,136],"adaptive":[69],"network":[70],"coverage.":[71],"Second,":[72],"novel":[74],"hybrid":[75],"resource":[76,100],"scheduling":[77],"paradigm":[78],"synergizing":[79],"Deep":[80],"Reinforcement":[81],"Learning":[82],"(DRL)":[83],"Large":[85],"Language":[86],"Models":[87],"(LLMs)":[88],"developed.":[90],"Within":[91],"this":[92],"framework,":[93],"DRL":[95,129],"agent":[96],"dictates":[97],"initial":[99],"allocation,":[101],"while":[102],"LLM":[104,133],"acts":[105],"as":[106],"semantic":[108],"macro-scheduler":[109],"rectify":[111],"long-tail":[112],"allocation":[113],"imbalances":[114],"for":[115],"failed":[116],"surplus":[118],"tasks.":[119],"Crucially,":[120],"reward":[122],"decoupling":[123],"mechanism":[124],"introduced":[126],"isolate":[128],"training":[130],"from":[131],"external":[132],"interventions,":[134],"thereby":[135],"policy":[137],"convergence.":[138],"Finally,":[139],"ratios":[143],"are":[144],"precisely":[145],"determined":[146],"via":[147],"Linear":[148],"(LP)":[150],"within":[151],"an":[152],"alternating":[153],"loop.":[155],"Simulation":[156],"results":[157],"demonstrate":[158],"that":[159],"method":[162],"significantly":[163],"outperforms":[164],"traditional":[165],"multi-agent":[166],"reinforcement":[167],"learning":[168],"baselines":[169],"terms":[171],"success":[174],"rate":[175],"efficiency.":[178]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-08T00:00:00"}